map of all single family parcels
# this isnt a nice print out, but if you wanted the table in the knitted doc, this could do that
epa_exemption_singleUnit_trend## # A tibble: 8 × 4
## # Groups: Fiscal Year [4]
## Tenure `Fiscal Year` `Household Count` `Percent (%)`
## <chr> <chr> <int> <chr>
## 1 Owner Occupied 2015/2016 1607 46.72%
## 2 Owner Occupied 2016/2017 1579 45.87%
## 3 Owner Occupied 2017/2018 1526 44.37%
## 4 Owner Occupied 2018/2019 1500 43.66%
## 5 Rented 2015/2016 1833 53.28%
## 6 Rented 2016/2017 1863 54.13%
## 7 Rented 2017/2018 1913 55.63%
## 8 Rented 2018/2019 1936 56.34%plot has hover points enabled for percentage
# this isnt a nice print out, but if you wanted the table in the knitted doc, this could do that
CoH_epa_exemption_trend## # A tibble: 12 × 4
## # Groups: Fiscal Year [3]
## CoH_type `Fiscal Year` `Property Sale Coun… `Percent (%)`
## <chr> <chr> <int> <chr>
## 1 "Became Owner \nOccupied" 2016/2017 18 6.02%
## 2 "Became Owner \nOccupied" 2017/2018 17 6.61%
## 3 "Became Owner \nOccupied" 2018/2019 23 9.83%
## 4 "Became Renter \nOccupied" 2016/2017 35 11.71%
## 5 "Became Renter \nOccupied" 2017/2018 51 19.84%
## 6 "Became Renter \nOccupied" 2018/2019 42 17.95%
## 7 "Remained Owner \nOccupied" 2016/2017 96 32.11%
## 8 "Remained Owner \nOccupied" 2017/2018 57 22.18%
## 9 "Remained Owner \nOccupied" 2018/2019 42 17.95%
## 10 "Remained Renter \nOccupied" 2016/2017 150 50.17%
## 11 "Remained Renter \nOccupied" 2017/2018 132 51.36%
## 12 "Remained Renter \nOccupied" 2018/2019 127 54.27%CoH_epa_exemption_total_trend## # A tibble: 3 × 2
## `Fiscal Year` `Total Property Sale`
## <chr> <int>
## 1 2016/2017 299
## 2 2017/2018 257
## 3 2018/2019 234plot has hover points enabled for percentage